Daffodil International University

Conference Proceeding ·2026

Addressing Technical Challenges and Workflow Optimization in 3D Prototype Manufacturing with Creality Ender 3 V2 Neo

Communications in Computer and Information Science

Arif Ahmed

Abstract

This study investigates workflow optimization for desktop Fused Deposition Modeling (FDM) using the Creality Ender 3 V2 Neo in resource-constrained environments. The novelty lies in the integration of hardware resilience (a low-cost inverter system) with systematic parameter optimization. The research addresses recurring challenges such as stringing, interlayer delamination, and surface irregularities, particularly under conditions of frequent power interruptions. Using PLA filament, parameters including layer height, nozzle size, infill style, and temperature were varied across seven planned trials. Prototypes such as a telescope sleeve and headphone stand were tested for strength, dimensional accuracy, surface quality, and print time. Results showed that the optimized setup improved load-bearing performance by 18% and reduced print time by 20% compared to default slicer profiles. The inverter system eliminated mid-print failures during blackouts, demonstrating the feasibility of reliable additive manufacturing in Dhaka-like settings. This work offers a cost-effective, practical workflow for laboratories and educational institutions seeking dependable 3D printing.

Authors

5
  1. 1
    Abdullah Faruque first author
  2. 2
    Md. Salah Uddin corresponding
  3. 3
    Arif Ahmed co-author
  4. 4
    Kazi Jahid Hasan co-author
  5. 5
    Md. Alik Akandh co-author

More from Arif

22 others
2026 Preserving Intangible Cultural Knowledge through Interactive 3D Heritage Objects: A Case Study of Traditional Bangladeshi Tools and Practices Science, Engineering Management and Information Technology (Springer Nature Switzerland), pp. 616-637 2026 Unveiling the antifungal potential of Xantolis assamica methanolic leaf extract: A phytochemical investigation and in silico analysis Computational Biology and Chemistry 2026 High-Performance Multiband THz MIMO Antenna for Future 6G Wireless Communications with Machine Learning Validation Journal of Communications 2026 Enhancing Two-Wheeler Rider Safety with Helmet-Based Head Movement Monitoring and IoT Integration Using Safe Angle Formula Statistics, Optimization and Information Computing 2025 Meta learner-based optimization for antenna efficiency prediction and high-performance THz MIMO antenna applications Results in Engineering 2025 Regression machine learning-based highly efficient dual band MIMO antenna design for mm-Wave 5G application and gain prediction Scientific Reports

← All publications by Professor Arif Ahmed